Speech signal blind separating method based on variable step size natural gradient algorithm

Abstract

The invention provides a speech signal blind separating method based on a variable step size natural gradient algorithm. (1) A speech signal collecting device is used for collecting mixed speech singles of speeches of multiple speakers, and the number of microphones is larger than or equal to that of the speakers; (2) the collected mixed speech signals are preprocessed, and then mixed speech signals which have zero mean, irrelevant signal sources and the high signal to noise ratio are obtained, wherein the preprocessing comprises the steps of adopting an LMS digital filter, removing the mean and removing related whitening processing; (3) the estimation of the speech of each speech source is restored and obtained from the mixed human speeches by using the variable step size natural gradient algorithm for regulating step size based on gradient factors. The speech signal blind separating method based on the variable step size natural gradient algorithm is capable of separating real mixed speech signals, high in separating speed and accurate and stable in separating effect.

Description

technical field [0001] The present invention relates to a speech signal processing method, in particular to a blind separation algorithm of multi-sound source mixed signal variable step size natural gradient, and a separation system of mixed speech signals obtained thereby. Background technique [0002] Blind source separation is an emerging research field that developed rapidly at the end of the 20th century. As a new data processing method, it is the product of the combination of artificial neural network, statistical signal processing, information theory, and computer, and has become an important part of some of the above fields. It has played an important role in the important topics of development and development, especially in the applications of biomedicine, speech signal processing, image processing, remote sensing, radar and communication systems. [0003] In the field of speech signal processing, the current speech recognition and noise reduction enhancement algori...

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Problems solved by technology

[0004] In the noisy environment, the existing separation algorithm itself cannot recognize the noise, and the speech signal separated by the noise is either unable to be completed or distorted, but the various separation algorithms of the theoretical research on speech signal separation in the absence of noise environment have achieved satisfactory results. Effect

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